Storage and Transmission Capacity Requirements of a Remote Solar Power Generation System

TL;DR

This paper analyzes the capacity requirements for remote solar power systems, focusing on the trade-offs between transmission, storage, and investment costs to optimize solar energy utilization.

Contribution

It introduces a linear programming projection algorithm to characterize feasible capacity parameters under budget and spillage constraints, aiding system planning.

Findings

Feasible capacity sets depend on spillage rate and budget constraints

The algorithm effectively identifies optimal capacity configurations

Results support better planning for remote solar power integration

Abstract

Large solar power stations usually locate in remote areas and connect to the main grid via a long transmission line. Energy storage unit is deployed locally with the solar plant to smooth its output. Capacities of the grid-connection transmission line and the energy storage unit have a significant impact on the utilization rate of solar energy, as well as the investment cost. This paper characterizes the feasible set of capacity parameters under a given solar spillage rate and a fixed investment budget. A linear programming based projection algorithm is proposed to obtain such a feasible set, offering valuable references for system planning and policy making.